TY - GEN
T1 - GeTOA
T2 - 25th IEEE Wireless Communications and Networking Conference, WCNC 2024
AU - Aryendu, Ishan
AU - Arya, Sudhanshu
AU - Wang, Ying
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Controlling the carbon footprint and operating costs of 5G and nextG networks remains a venerable problem among network designers aiming for high spectrum efficiency and communication performance. This paper introduces a Game-Theoretic solution known as GeTOA (Game-Theoretic Age of Information), which leverages Nash bargaining (NB) to optimize the Age of Information (AOI) for multi-user electric vertical take-off and landing (eVTOL) communication. Considering the unique trajectory of the e VTOLs, which have substantial alterations in the channel conditions, coupled with the variation in the AOI during critical phases of flight, we calculate the Pareto optimal solutions for fair and efficient use of available resources while increasing the information content in our communication. We compare the cooperative GeTOA approach against the non-cooperative utility maximization (UM) approach, resulting in a notable 12.76% improvement while ensuring equitable resource allocation among the nodes. In contrast to the traditional UM approach, GeTOA significantly enhances energy allocation efficiency for multiple e VTOLs operating with diverse trajec-tories while enabling zero-touch fair resource management in open-access spectrum scenarios. In particular, results show that GeTOA handles fairness among the eVTOLs by ensuring an equal rate of information and fair distribution of power at the eVTOLs, which is especially relevant for Citizens Broadband Radio Service (CBRS) and C- Band applications. The flexibility and prioritization of AOI-based optimization allow a significant number of e VTOLs to operate efficiently within a congested spec-trum, facilitating Ultra-Reliable Low Latency Communication (URLLC) and improving power efficiency for the advancement of large-scale Urban Air Mobility (UAM) services which the limited flight range of e VTOLs has historically restricted.
AB - Controlling the carbon footprint and operating costs of 5G and nextG networks remains a venerable problem among network designers aiming for high spectrum efficiency and communication performance. This paper introduces a Game-Theoretic solution known as GeTOA (Game-Theoretic Age of Information), which leverages Nash bargaining (NB) to optimize the Age of Information (AOI) for multi-user electric vertical take-off and landing (eVTOL) communication. Considering the unique trajectory of the e VTOLs, which have substantial alterations in the channel conditions, coupled with the variation in the AOI during critical phases of flight, we calculate the Pareto optimal solutions for fair and efficient use of available resources while increasing the information content in our communication. We compare the cooperative GeTOA approach against the non-cooperative utility maximization (UM) approach, resulting in a notable 12.76% improvement while ensuring equitable resource allocation among the nodes. In contrast to the traditional UM approach, GeTOA significantly enhances energy allocation efficiency for multiple e VTOLs operating with diverse trajec-tories while enabling zero-touch fair resource management in open-access spectrum scenarios. In particular, results show that GeTOA handles fairness among the eVTOLs by ensuring an equal rate of information and fair distribution of power at the eVTOLs, which is especially relevant for Citizens Broadband Radio Service (CBRS) and C- Band applications. The flexibility and prioritization of AOI-based optimization allow a significant number of e VTOLs to operate efficiently within a congested spec-trum, facilitating Ultra-Reliable Low Latency Communication (URLLC) and improving power efficiency for the advancement of large-scale Urban Air Mobility (UAM) services which the limited flight range of e VTOLs has historically restricted.
KW - age of information
KW - eVTOL
KW - game theory
KW - nash bargaining
KW - utility maximization
UR - http://www.scopus.com/inward/record.url?scp=85198855473&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85198855473&partnerID=8YFLogxK
U2 - 10.1109/WCNC57260.2024.10571198
DO - 10.1109/WCNC57260.2024.10571198
M3 - Conference contribution
AN - SCOPUS:85198855473
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2024 IEEE Wireless Communications and Networking Conference, WCNC 2024 - Proceedings
Y2 - 21 April 2024 through 24 April 2024
ER -